Workflows MCP Server

what is Workflows MCP Server? Workflows MCP Server is a server that provides integration through REST endpoints and Model Context Protocol (MCP) to a workflow engine, specifically designed to fetch and interpret weather information for cities. how to use Workflows MCP Server? To use the server, you can either utilize the simplified direct API approach or the MCP approach. For the direct API, start the server and access the weather API by providing a city name. For the MCP approach, build the TypeScript code, start the server, and use the provided endpoints for communication. key features of Workflows MCP Server? Exposes a get-weather tool for fetching weather data for any city. Provides a check-weather prompt template for easy integration with LLMs. Supports HTTP/SSE transport for client communication. use cases of Workflows MCP Server? Fetching real-time weather data for various cities. Integrating weather information into applications using LLMs. Providing health check endpoints for monitoring server status. FAQ from Workflows MCP Server? What is the difference between the direct API and MCP approach? The direct API is a simpler implementation that does not use the MCP protocol, while the MCP approach is a more complex TypeScript implementation that may have compatibility issues. How do I fetch weather data for a city? Use the endpoint http://localhost:3000/api/weather?city=CityName after starting the server. What are the prerequisites for running the server? You need Node.js 18 or higher and npm or yarn installed.

As an MCP (Model Context Protocol) server, Workflows MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the server, you can either utilize the simplified direct API approach or the MCP approach. For the direct API, start the server and access the weather API by providing a city name. For the MCP approach, build the TypeScript code, start the server, and use the provided endpoints for communication. key features of Workflows MCP Server? Exposes a get-weather tool for fetching weather data for any city. Provides a check-weather prompt template for easy integration with LLMs. Supports HTTP/SSE transport for client communication. use cases of Workflows MCP Server? Fetching real-time weather data for various cities. Integrating weather information into applications using LLMs. Providing health check endpoints for monitoring server status. FAQ from Workflows MCP Server? What is the difference between the direct API and MCP approach? The direct API is a simpler implementation that does not use the MCP protocol, while the MCP approach is a more complex TypeScript implementation that may have compatibility issues. How do I fetch weather data for a city? Use the endpoint http://localhost:3000/api/weather?city=CityName after starting the server. What are the prerequisites for running the server? You need Node.js 18 or higher and npm or yarn installed.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.